人工智能技术赋能的数字孪生IP网络研究及应用探讨  

Research and Application Discussion on Digital Twin IP Network Empowered by Artificial Intelligence Technology

作　　者：庞冉[1] 石鸿伟 苏琛 薛金明[3] 吕文祥 程智炜 Pang Ran;Shi Hongwei;Su Chen;Xue Jinming;LüWenxiang;Cheng Zhiwei(China Unicom Research Institute,Beijing 100048,China;Purple Mountain Laboratories,Nanjing 211111,China;China Unicom Jiangsu Branch,Nanjing 210019,China;School of Cyber Science and Engineering,Southeast University,Nanjing 210003,China)

机构地区：[1]中国联通研究院,北京100048 [2]紫金山实验室,江苏南京211111 [3]中国联通江苏分公司,江苏南京210019 [4]东南大学网络空间安全学院,江苏南京210003

出　　处：《邮电设计技术》2025年第3期25-30,共6页Designing Techniques of Posts and Telecommunications

摘　　要：为解决IP承载网络运维复杂、优化策略效率低和网络管理智能化低等问题,从国家政策、行业标准、产业实践和学术研究等方面系统分析人工智能技术与数字孪生网络的发展现状,提出面向IP承载网的基于人工智能的数字孪生网络体系架构,深入研究人工智能技术与数字孪生网络结合的关键能力,同时对人工智能技术如何提升数字孪生网络的建模精度、赋能承载网络的运维管理以及提升网络优化效率的典型应用进行探讨。To address the issues of complex operations and maintenance(O&M),low optimization strategy efficiency,and low intelligence in network management within IP transport networks,it systematically analyzes the current development status of artificial intelligence(AI)technology and digital twin networks from the perspectives of national policies,industry standards,industrial practices,and academic research.It proposes an AI-based digital twin network architecture tailored for IP transport networks,and also delves into the key capabilities required for the integration of AI technology with digital twin networks.At the same time,it explores typical applications of AI technology in improving the modeling accuracy of digital twin networks,empowering O&M management of transport networks,and enhancing network optimization efficiency.

关 键 词：数字孪生网络 人工智能 IP承载网 智能决策 

分 类 号：TN915[电子电信—通信与信息系统]